一种新的鲁棒性视频复制检测算法  

A New Video Copy Detection Algorithm of High Robustness

作　　者：陈秀新[1,2] 贾克斌[1] 邓智? 庄新月[1] 

机构地区：[1]北京工业大学电子信息与控制工程学院,北京100124 [2]北京工商大学计算机与信息工程学院,北京100048

出　　处：《北京工业大学学报》2011年第5期691-696,共6页Journal of Beijing University of Technology

基　　金：国家自然科学基金资助项目(60672050)

摘　　要：针对现有的视频复制检测方法中存在的计算量大、鲁棒性差等问题,提出了一种新的视频复制检测算法.算法采用视频时序特征曲线来描述视频内容,将每帧图像基于信息熵自动分割成若干个子块,提取各个子块的时序特征曲线作为表征视频内容的特征值.在相似性匹配时,采用鲁棒性的相似性匹配算法,实验结果证明了算法的有效性和鲁棒性.To solve the problems of high computation and low robustness that exist in present video copy detection methods,a new video copy detection method is proposed.This algorithm uses spatio-temporal feature curves of the video to describe the video content.Each frame in the video is divided into several blocks according to the entropy in it and each block＇s spatio-temporal feature curves are extracted to serve as descriptors of its content.A robust matching method is adopted to match the two videos＇ feature curves.The experiments show the effectiveness and robustness of the algorithm.

关 键 词：版权保护 视频复制检测 时序特征曲线 信息检索 

分 类 号：TN911.73[电子电信—通信与信息系统]